Research On Capacity Game Planning Of AC/DC Hybrid Micro-grid Combined With Power Smoothing

With the continuous increase of wind and solar installed capacity,the impact of its volatility and intermittentness on the power grid becomes more and more obvious.In order to solve the impact of intermittent new energy access on the stable operation of large power grids,in addition to the increasing number of DC power equipment,The study of AC/DC hybrid microgrid with hybrid energy storage of wind and solar has become an effective measure to solve the above problems reasonably.In the planning stage of the microgrid,the problem of how to reduce the grid-connected power fluctuations by configuring the optimal economic capacity needs to be solved urgently.In response to the above problems,this paper conducts research on the optimal configuration of AC/DC hybrid microgrid capacity that meets the smoothness and economy of grid-connected interactive power.The specific content is as follows:Firstly,take the actual wind,solar and load conditions in Hebei as the research object,and use battery-supercapacitors to stabilize wind and solar power fluctuations.The wind,solar,battery,and super capacitor models were established respectively,and the difference between the total power of wind and solar power generation and the load power was defined as the power to be stabilized.According to the characteristics of batteries and supercapacitors,they are made to undertake different smoothing tasks,and a hybrid energy storage distribution strategy based on pole modal decomposition is proposed.This strategy is used to decompose the power to be suppressed,select an appropriate filter order from the energy point of view,and recombine the power to be suppressed into low-frequency and high-frequency components,so that the battery and super capacitor are used to suppress the low-frequency and high-frequency components respectively,so as to give full play to the mixing Performance advantages of energy storage.Relying on engineering examples,simulations prove that this strategy can not only give full play to the respective performance characteristics of hybrid energy storage,but also show a good smoothing effect.Secondly,because the system’s stabilization effect and economy are directly affected by capacity allocation,the game theory method for multi-objective optimization of complex subjects is used to solve the capacity allocation problem.The corresponding relationship of the game form of wind,light,battery and super capacitor is determined,and the basis of the game theory involved in this article is refined.A game planning and allocation method for AC/DC microgrid capacity based on pole modal decomposition and improved Firefly algorithm is proposed.Investors in wind,solar,storage batteries,and supercapacitors are the main players in the game,and comprehensive consideration of factors such as economy and reliability are established respectively.The cooperative and non-cooperative capacity game planning model of the author,combined with the hybrid energy storage power allocation strategy,uses an improved firefly algorithm to solve the problem.The simulation examples prove that the method can not only realize the reasonable configuration of installed capacity of wind,solar and hybrid energy storage,but also realize the complementary advantages of batteries and supercapacitors,reduce grid-connected power fluctuations,and improve the operating economy of the system.Finally,based on the previous research results,a set of AC/DC hybrid microgrid capacity optimization configuration software is developed for the initial planning and design of power,and the actual data proves that it initially meets the requirements of the design unit and has a certain practicability.